WO2015164471A1 - Shrimp processing system and methods - Google Patents

Shrimp processing system and methods Download PDF

Info

Publication number
WO2015164471A1
WO2015164471A1 PCT/US2015/027032 US2015027032W WO2015164471A1 WO 2015164471 A1 WO2015164471 A1 WO 2015164471A1 US 2015027032 W US2015027032 W US 2015027032W WO 2015164471 A1 WO2015164471 A1 WO 2015164471A1
Authority
WO
WIPO (PCT)
Prior art keywords
shrimps
shrimp
line
sample
station
Prior art date
Application number
PCT/US2015/027032
Other languages
English (en)
French (fr)
Inventor
Charles J. Ledet
Robert S. Lapeyre
Bruce F. Taylor
Original Assignee
Laitram, L.L.C.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Laitram, L.L.C. filed Critical Laitram, L.L.C.
Priority to DKPA201670896A priority Critical patent/DK179497B1/en
Priority to US15/304,764 priority patent/US9622492B2/en
Priority to MX2016013869A priority patent/MX369568B/es
Priority to CA2946730A priority patent/CA2946730A1/en
Priority to EP15782421.0A priority patent/EP3133927A4/en
Priority to CN201580030550.0A priority patent/CN106455594B/zh
Publication of WO2015164471A1 publication Critical patent/WO2015164471A1/en

Links

Classifications

    • AHUMAN NECESSITIES
    • A22BUTCHERING; MEAT TREATMENT; PROCESSING POULTRY OR FISH
    • A22CPROCESSING MEAT, POULTRY, OR FISH
    • A22C17/00Other devices for processing meat or bones
    • A22C17/0073Other devices for processing meat or bones using visual recognition, X-rays, ultrasounds, or other contactless means to determine quality or size of portioned meat
    • A22C17/008Other devices for processing meat or bones using visual recognition, X-rays, ultrasounds, or other contactless means to determine quality or size of portioned meat for measuring quality, e.g. to determine further processing
    • AHUMAN NECESSITIES
    • A22BUTCHERING; MEAT TREATMENT; PROCESSING POULTRY OR FISH
    • A22CPROCESSING MEAT, POULTRY, OR FISH
    • A22C29/00Processing shellfish or bivalves, e.g. oysters, lobsters; Devices therefor, e.g. claw locks, claw crushers, grading devices; Processing lines
    • A22C29/02Processing shrimps, lobsters or the like ; Methods or machines for the shelling of shellfish
    • AHUMAN NECESSITIES
    • A22BUTCHERING; MEAT TREATMENT; PROCESSING POULTRY OR FISH
    • A22CPROCESSING MEAT, POULTRY, OR FISH
    • A22C17/00Other devices for processing meat or bones
    • A22C17/0093Handling, transporting or packaging pieces of meat
    • AHUMAN NECESSITIES
    • A22BUTCHERING; MEAT TREATMENT; PROCESSING POULTRY OR FISH
    • A22CPROCESSING MEAT, POULTRY, OR FISH
    • A22C29/00Processing shellfish or bivalves, e.g. oysters, lobsters; Devices therefor, e.g. claw locks, claw crushers, grading devices; Processing lines
    • A22C29/005Grading or classifying shellfish or bivalves
    • AHUMAN NECESSITIES
    • A22BUTCHERING; MEAT TREATMENT; PROCESSING POULTRY OR FISH
    • A22CPROCESSING MEAT, POULTRY, OR FISH
    • A22C29/00Processing shellfish or bivalves, e.g. oysters, lobsters; Devices therefor, e.g. claw locks, claw crushers, grading devices; Processing lines
    • A22C29/02Processing shrimps, lobsters or the like ; Methods or machines for the shelling of shellfish
    • A22C29/024Opening, shelling or peeling shellfish
    • A22C29/026Mechanically peeling and shelling shrimps, prawns or other soft-shelled crustaceans
    • AHUMAN NECESSITIES
    • A22BUTCHERING; MEAT TREATMENT; PROCESSING POULTRY OR FISH
    • A22CPROCESSING MEAT, POULTRY, OR FISH
    • A22C29/00Processing shellfish or bivalves, e.g. oysters, lobsters; Devices therefor, e.g. claw locks, claw crushers, grading devices; Processing lines
    • A22C29/02Processing shrimps, lobsters or the like ; Methods or machines for the shelling of shellfish
    • A22C29/028Beheading shellfish

Definitions

  • the throughput, quality, and yield of peeled shrimp affect the throughput, quality, and yield of peeled shrimp.
  • Some factors related to the shrimp themselves include the species, size, uniformity, and freshness of the shrimp.
  • Factors related to the peeling equipment include the feed rate of shrimp to the peeler, water flow to the peeler, and finger-frame pressure.
  • Other factors relate to other shrimp-processing equipment, such as cleaners, shrimp feed systems, roller separators, air separators, and graders.
  • the equipment-related factors are generally manually adjustable to improve peeling quality and yield for a given batch of shrimp or to compensate for peeling- roller wear. Because the quality and yield of the peeled shrimp directly affect their production cost and the price they can command, proper adjustment of the peeling equipment is important. But proper manual adjustment requires diligent monitoring of the output quality and yield and experience in selecting the adjustments that should be made.
  • FIG. 6 is a flowchart of one version of a control scheme usable in an automated shrimp-peeling system as in FIG. 3;
  • FIG. 8 is an isometric view of an off-line vision station usable in a shrimp-processing system as in FIG. 5; and FIG. 9 is a block diagram of the off-line vision station of FIG. 8.
  • FIG. 1 shows the anatomy of a peeled, or shelled and deheaded, shrimp.
  • the complete shrimp meat 10 includes six main segments S1-S6 and a telson T.
  • the head-end segment SI has the largest girth of all the segments; the tail-end telson T is sometimes lost along with the shell in the peeling process.
  • the segments S1-S6 are typically referred to as "tail segments.” Borders B between adjacent tail segments are generally discernable, as are other features, such as indentations I along the back and indentations J along the underside at the junctions of the adjacent tail segments.
  • the algorithms also count the total sample of shrimps and the number of shrimps in each quality class for each frame. From the counts, the algorithms compute peeling quality and yield statistics, such as the yield of each quality class, which can be reported on a display monitor 26, printed as a report, or sound an alarm if the statistics lie outside preset limits.
  • the processor 24 can also adjust one or more operating parameters of the peeler, such as infeed rate, roller rotation frequency, finger-frame pressure, and water flow, in response to out-of-limits yield or quality values by control signals over control lines 27.
  • the yield is computed 94 for each class by dividing the accumulated weights for each class by the accumulated six-segment weight of the sample.
  • the processing- equipment stations downstream of the peeler are linked by a conveyor system that may include conveyor belts, elevators, fluid conduits, or other transport apparatus transporting shrimps along the process path.
  • the global control processor 70 runs algorithms and routines that develop shrimp images from the vision data and compute throughput, quality, and yield results at various points in the shrimp-processing system. The results can be displayed and used to derive control signals to automatically control the operation of the system over processor control output lines 74 to improve quality and yield.
  • the off-line QC station 100 is optionally connected to the Internet directly or through a server 120 for World Wide Web access by users remote from the station.
  • Remote users have QC-station-specific, password- protected access to a web portal displaying historical data in tabular or chart form for any time period. From the analysis of data from a single user or from multiple participating users, benchmarks can be derived for comparison with actual results.
  • Moisture content and dehydration can alternatively be measured at the QC station 100 with a weigh- dry-weigh system including a dryer and a weight sensor that compares the weights of a shrimp or shrimps before and after drying for a specified time.
  • Some of the quality features can instead be observed by a human operator and manually inputted via the user interface 114. Examples are: (a) smell; (b) spoilage; (c) black spot; (d) necrosis; (e) soft shell; (f) texture; (g) firmness; (h) dehydration; (i) glazing; and (j) unacceptable residual vein or improper vein cut after deveining.

Landscapes

  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Wood Science & Technology (AREA)
  • Zoology (AREA)
  • Food Science & Technology (AREA)
  • Biophysics (AREA)
  • Mechanical Engineering (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)
  • Image Processing (AREA)
PCT/US2015/027032 2014-04-24 2015-04-22 Shrimp processing system and methods WO2015164471A1 (en)

Priority Applications (6)

Application Number Priority Date Filing Date Title
DKPA201670896A DK179497B1 (en) 2014-04-24 2015-04-22 SHRIMP PROCESSING SYSTEM AND METHODS
US15/304,764 US9622492B2 (en) 2014-04-24 2015-04-22 Shrimp processing system and methods
MX2016013869A MX369568B (es) 2014-04-24 2015-04-22 Sistema y metodos de procesamiento del camaron.
CA2946730A CA2946730A1 (en) 2014-04-24 2015-04-22 Shrimp processing system and methods
EP15782421.0A EP3133927A4 (en) 2014-04-24 2015-04-22 Shrimp processing system and methods
CN201580030550.0A CN106455594B (zh) 2014-04-24 2015-04-22 虾加工系统和方法

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201461983835P 2014-04-24 2014-04-24
US61/983,835 2014-04-24

Publications (1)

Publication Number Publication Date
WO2015164471A1 true WO2015164471A1 (en) 2015-10-29

Family

ID=54333121

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2015/027032 WO2015164471A1 (en) 2014-04-24 2015-04-22 Shrimp processing system and methods

Country Status (7)

Country Link
US (1) US9622492B2 (zh)
EP (1) EP3133927A4 (zh)
CN (1) CN106455594B (zh)
CA (1) CA2946730A1 (zh)
DK (1) DK179497B1 (zh)
MX (1) MX369568B (zh)
WO (1) WO2015164471A1 (zh)

Cited By (1)

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Publication number Priority date Publication date Assignee Title
CN110692696A (zh) * 2019-11-14 2020-01-17 田野 安全易用型虾背切割、虾线清理设备

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CN108062040B (zh) * 2017-07-20 2020-06-26 宁波方太厨具有限公司 一种设备水渍油污的智能清理方法
GB201810055D0 (en) * 2018-06-19 2018-08-08 Ishida Europe Ltd Method and system for processing poultry portions
TWI736950B (zh) 2019-08-12 2021-08-21 國立中山大學 智慧養殖系統與方法
MX2022009650A (es) 2020-02-07 2022-11-08 Nova Tech Eng Llc Aparatos y metodos de procesamiento de camarones.
WO2021178111A1 (en) * 2020-03-04 2021-09-10 Laitram, L.L.C. Shrimp processing system
CN112215809A (zh) * 2020-09-25 2021-01-12 北京林业大学 对虾加工剥壳率检测方法、装置、电子设备及存储介质
WO2023075845A1 (en) * 2021-10-29 2023-05-04 Nova-Tech Engineering, Llc Animal processing systems and methods including graphical user interfaces
CN114324034B (zh) * 2021-12-13 2023-09-26 华南农业大学 一种基于多触感辨识的对虾剥壳合格率检测装置

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110692696A (zh) * 2019-11-14 2020-01-17 田野 安全易用型虾背切割、虾线清理设备
CN110692696B (zh) * 2019-11-14 2024-04-05 郑州尺良科技有限公司 安全易用型虾背切割、虾线清理设备

Also Published As

Publication number Publication date
CN106455594B (zh) 2018-12-04
EP3133927A1 (en) 2017-03-01
US20170035069A1 (en) 2017-02-09
DK201670896A1 (en) 2016-12-05
DK179497B1 (en) 2019-01-15
MX369568B (es) 2019-11-12
MX2016013869A (es) 2017-07-28
CN106455594A (zh) 2017-02-22
US9622492B2 (en) 2017-04-18
CA2946730A1 (en) 2015-10-29
EP3133927A4 (en) 2017-10-18

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